# United States All employees, thousands, u.s. postal service, not seasonally adjusted

United States All employees, thousands, u.s. postal service, not seasonally adjusted was up 1.8% year on year in October 2026, compared with 0.7% in September 2026.
The level stood at 598.9 thousands.
Over the past ten years it has ranged from −2.7% (May 2025) to 3.1% (Apr 2021), averaging −0.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.NSA.IND-90919120`
- Frequency: monthly
- Units: thousands
- Coverage: 1966-01-01 to 2026-10-01 (730 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-thousands-u-s-postal-service-not-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| October 2026 | 598.9 thousands | 1.8 |
| September 2026 | 593.2 thousands | 0.7 |
| August 2026 | 594.9 thousands | 1.2 |
| July 2026 | 601.4 thousands | 0.4 |
| June 2026 | 599.9 thousands | 1.9 |
| May 2026 | 600.6 thousands | 1.8 |
| April 2026 | 600.0 thousands | −0.7 |
| March 2026 | 601.5 thousands | 0.4 |
| February 2026 | 602.3 thousands | 0.3 |
| January 2026 | 592.0 thousands | −1.8 |
| December 2025 | 601.6 thousands | −0.7 |
| November 2025 | 594.4 thousands | −1.5 |
| October 2025 | 588.4 thousands | −2.5 |
| September 2025 | 589.2 thousands | −2.1 |
| August 2025 | 588.0 thousands | −2.2 |
| July 2025 | 598.9 thousands | −1.6 |
| June 2025 | 588.7 thousands | −2.6 |
| May 2025 | 590.1 thousands | −2.7 |
| April 2025 | 604.1 thousands | −1.1 |
| March 2025 | 599.4 thousands | −1.5 |
| February 2025 | 600.2 thousands | −1.2 |
| January 2025 | 602.8 thousands | −0.4 |
| December 2024 | 605.9 thousands | −1.1 |
| November 2024 | 603.5 thousands | −0.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-90919120"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-90919120",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```